Abstract:Purpose
This study investigated the factors affecting online learning (OL) and stress and anxiety (SaA) during the COVID-19 pandemic in Saudi Arabia.
Design/methodology/approach
This study used a quantitative study and a survey questionnaire to collect the cross-sectional data. The authors sent 500 survey questionnaires to the respondents of which 262 samples were returned. This represented a 52% response rate. Finally, this study used 260 valid samples to derive this study’s findings.
Findings
Through str… Show more
“…Likewise, the study reveals that technological challenges significantly impact students' anxiety toward online learning. This result confirms previous investigations that have also identified technological challenges as a contributing factor to anxiety in online learning contexts [ 7 , 60 ]. Furthermore, the finding is consistent with the research conducted by J.S.…”
Section: Discussionsupporting
confidence: 92%
“…Our exploratory factor analysis results revealed five factors contributing to online learning anxiety: lack of learning motivation, separation from instructors, separation from peers, technological challenges, and lack of two-way communication. Overall, our findings are generally consistent with the existing body of research [ 7 , 56 ] and contribute to expanding Keegan's theoretical framework on online education. These results strengthen the validity of our findings and provide additional evidence for the influence of these factors on online learning anxiety among EFL students.…”
Section: Discussionsupporting
confidence: 89%
“…The existing literature has primarily centered on investigating online learning anxiety across various online settings, such as self-paced online training, online examinations, and synchronous (asynchronous) online courses, particularly within the context of the COVID-19 pandemic. Researchers such as Abdelwahed et al [ 7 ] have employed structural equation modeling analysis to demonstrate that factors such as a lack of time and support, technical problems, and poor technical skills all negatively influence online learning. Moreover, studies have also examined the impact of the pandemic on students’ anxiety [ 32 ], the effects of COVID-19 on online learning [ 33 ], online motivation, performance, and engagement [ 34 , 35 ], as well as online learning self-efficacy [ 36 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Previous studies have examined the impact of students' online learning anxiety and the challenges associated with online learning [ 6 ]. Additionally, a focus has been placed on exploring language learning anxiety in online contexts [ 7 ]. These studies have delved into various aspects of language learning anxiety, including writing and speaking anxiety in an online learning environment [ 8 ], as well as the effects of online learning on EFL learners' anxiety [ 9 ].…”
“…Likewise, the study reveals that technological challenges significantly impact students' anxiety toward online learning. This result confirms previous investigations that have also identified technological challenges as a contributing factor to anxiety in online learning contexts [ 7 , 60 ]. Furthermore, the finding is consistent with the research conducted by J.S.…”
Section: Discussionsupporting
confidence: 92%
“…Our exploratory factor analysis results revealed five factors contributing to online learning anxiety: lack of learning motivation, separation from instructors, separation from peers, technological challenges, and lack of two-way communication. Overall, our findings are generally consistent with the existing body of research [ 7 , 56 ] and contribute to expanding Keegan's theoretical framework on online education. These results strengthen the validity of our findings and provide additional evidence for the influence of these factors on online learning anxiety among EFL students.…”
Section: Discussionsupporting
confidence: 89%
“…The existing literature has primarily centered on investigating online learning anxiety across various online settings, such as self-paced online training, online examinations, and synchronous (asynchronous) online courses, particularly within the context of the COVID-19 pandemic. Researchers such as Abdelwahed et al [ 7 ] have employed structural equation modeling analysis to demonstrate that factors such as a lack of time and support, technical problems, and poor technical skills all negatively influence online learning. Moreover, studies have also examined the impact of the pandemic on students’ anxiety [ 32 ], the effects of COVID-19 on online learning [ 33 ], online motivation, performance, and engagement [ 34 , 35 ], as well as online learning self-efficacy [ 36 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Previous studies have examined the impact of students' online learning anxiety and the challenges associated with online learning [ 6 ]. Additionally, a focus has been placed on exploring language learning anxiety in online contexts [ 7 ]. These studies have delved into various aspects of language learning anxiety, including writing and speaking anxiety in an online learning environment [ 8 ], as well as the effects of online learning on EFL learners' anxiety [ 9 ].…”
“…In contrast, Ref. [39] identifies distinct concerns in Saudi Arabia, including stress, anxiety, limited time and support, technical difficulties, inadequate technical skills, and challenges related to cost and internet connectivity. These factors suggest a greater focus on the psychological and infrastructural difficulties experienced by learners in Saudi Arabia.…”
Due to the COVID-19 pandemic, there has been a rapid shift from traditional classroom-based education to sustainable online classrooms. This has brought attention to the importance of comprehending the intricacies of students’ engagement during virtual learning. Drawing upon the concept of community of inquiry in cognitive, social, and teaching presence, a mixed-methods approach involved data collected via a structured questionnaire administered to 452 university students to identify the factors that influence students’ participation during online classes. Through the application of the CHAID (Chi-Squared Automatic Interaction Detection) decision tree algorithm, the quality of course content is identified as a cognitive predictor of students’ engagement. It is worth mentioning that a significant proportion of students, specifically 61.7%, demonstrated a considerable degree of engagement with faculty content due to its high quality. With respect to the role of social presence, possession of a designated private space boost (69.2%) and requiring students to use their webcams are found to be critical for students’ engagement. Lastly, teaching presence as a factor in enhancing students’ engagement is demonstrated by promoting interactive classrooms and providing rapid feedback to students by teachers. The findings demonstrate the importance of teachers’ quality course material, interactive classes, and the benefits of a physical environment free from distractions for optimizing students’ engagement.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.